3 papers
cs.DB2024
PoneglyphDB: Efficient Non-interactive Zero-Knowledge Proofs for Arbitrary SQL-Query Verification
Binbin Gu, Juncheng Fang, Faisal Nawab
In database applications involving sensitive data, the dual imperatives of data confidentiality and provable query processing are important. This paper introduces PoneglyphDB, a da…
cs.DB2022
Efficient Dynamic Clustering: Capturing Patterns from Historical Cluster Evolution
Binbin Gu, Saeed Kargar, Faisal Nawab
Clustering aims to group unlabeled objects based on similarity inherent among them into clusters. It is important for many tasks such as anomaly detection, database sharding, recor…
cs.DB2020
Predict and Write: Using K-Means Clustering to Extend the Lifetime of NVM Storage
Saeed Kargar, Heiner Litz, Faisal Nawab
Non-volatile memory (NVM) technologies suffer from limited write endurance. To address this challenge, we propose Predict and Write (PNW), a K/V-store that uses a clustering-based…